Aircraft Structural Health Monitoring and Digital Twin
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 5283
Special Issue Editors
Interests: structural reliability; multidisciplinary design optimization; structural health monitoring and digital twin of aircraft
Interests: computational solid mechanics; aircraft structural dynamics; structural reliability; structural topology optimization; dynamic load identification for aircraft structures; structural damage identification and health monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The continuous advancement of aircraft technology has brought significant benefits to both production and daily life. However, complex operational conditions such as high speed, high altitude, and strong interference have imposed more demanding requirements on the utilization and maintenance of aircraft structures. This has led to greater safety-related and economic challenges.
To meet the evolving and intricate needs of aircraft structures in terms of operation, maintenance, and lifespan assessment, the fields of health monitoring and digital twin technology for aircraft structures have rapidly progressed and garnered widespread research attention. Structural health monitoring involves the continuous acquisition of pertinent information regarding the safety status of a structure in real-time. This information is crucial for providing early warnings of potential failures.
Digital twin technology has further elevated expectations regarding the precision and swiftness of structural health monitoring. It accomplishes this by creating a real-time, interactive digital representation of an aircraft structure's internal state, external environment, and future behavior. This is achieved through the integration of physical principles and intelligent algorithms.
However, due to various inherent challenges such as noise interference during data collection, uncertainty in analytical models, difficulties in parameter inversion, and the slow evolution of complex models, establishing efficient and accurate health monitoring and digital twin systems that can be trusted for aerospace structures is often a daunting task.
To address these challenges and pioneer breakthroughs in technology, this Special Edition warmly invites contributions focused on issues related to structural health monitoring and digital twin for aerospace structures. Topics of interest encompass, but are not limited to, structural health monitoring, digital twin technology, structural load identification, structural damage identification, the optimization of sensor placement, processing noisy data, the quantification of model uncertainties, the reconstruction of field variables, the identification of structural parameters, updates to and the evolution of twin models, structural strength evaluation, and lifespan prediction.
Prof. Dr. Xiaojun Wang
Dr. Lei Wang
Guest Editors
Manuscript Submission Information
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Keywords
- aircraft structure
- structural health monitoring
- digital twin
- structural loading identification
- structural damage identification
- sensor layout optimization
- real-time monitoring
- predictive maintenance
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